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Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data

Gene expression time-course experiments allow to study the dynamics of transcriptomic changes in cells exposed to different stimuli. However, most approaches for the reconstruction of gene association networks (GANs) do not propose prior-selection approaches tailored to time-course transcriptome dat...

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發表在:PLoS One
Main Authors: Michna, Agata, Braselmann, Herbert, Selmansberger, Martin, Dietz, Anne, Hess, Julia, Gomolka, Maria, Hornhardt, Sabine, Blüthgen, Nils, Zitzelsberger, Horst, Unger, Kristian
格式: Artigo
語言:Inglês
出版: Public Library of Science 2016
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4978405/
https://ncbi.nlm.nih.gov/pubmed/27505168
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0160791
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